Listar Dpto. Estadística, Informática y Matemáticas - Estatistika, Informatika eta Matematika Saila [desde mayo 2018 / 2018ko maiatzetik] por título
Mostrando ítems 46-65 de 498
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Bayesian inference in multivariate spatio-temporal areal models using INLA: analysis of gender-based violence in small areas
Multivariate models for spatial count data are currently receiving attention in disease mapping to model two or more diseases jointly. They have been thoroughly studied from a theoretical point of view, but their use in ... -
Behavioral analysis in cybersecurity using machine learning: a study based on graph representation, class imbalance and temporal dissection
The main goal of this thesis is to improve behavioral cybersecurity analysis using machine learning, exploiting graph structures, temporal dissection, and addressing imbalance problems.This main objective is divided into ... -
Bidemocratic bases and their connections with other greedy-type bases
In nonlinear greedy approximation theory, bidemocratic bases have traditionally played the role of dualizing democratic, greedy, quasi-greedy, or almost greedy bases. In this article we shift the viewpoint and study them ... -
Big problems in spatio-temporal disease mapping: methods and software
Background and objective: Fitting spatio-temporal models for areal data is crucial in many fields such as cancer epidemiology. However, when data sets are very large, many issues arise. The main objective of this paper is ... -
Body composition and resting energy expenditure in a group of children with achondroplasia
Background: Persons with achondroplasia develop early obesity, which is a comorbidity associated with other complications. Currently, there are no validated specific predictive equations to estimate resting energy expenditure ... -
Boundary integral equation methods for the solution of scattering and transmission 2D elastodynamic problems
We introduce and analyse various regularized combined field integral equations (CFIER) formulations of time-harmonic Navier equations in media with piece-wise constant material properties. These formulations can be derived ... -
Bright fireballs recorded along February 2021 in the framework of the Southwestern Europe Meteor Network
This work focuses on the analysis of some of the brightest bolides recorded along February 2021 by the meteorobserving stations operating in the framework of the Southwestern Europe Meteor Network (SWEMN). Some of them ... -
Bright fireballs recorded along March 2021 in the framework of the Southwestern Europe Meteor Network
We present here some recent improvements performed in the framework of the Southwestern Europe Meteor Network (SWEMN) and the SMART project. In particular, we focus on the development of the first digital database dedicated ... -
BRScS: a hybrid recommendation model fusing multi-source heterogeneous data
Recommendation systems are often used to solve the problem of information overload on the Internet. Many types of data can be used for recommendations, and fusing different types of data can make recommendations more ... -
Building highly conditional almost greedy and quasi-greedy bases in Banach spaces
It is known that for a conditional quasi-greedy basis B in a Banach space X, the associated sequence (k(m)[B](m=1)(infinity) of its conditionality constants verifies the estimate k(m)[B] = O(log m) and that if the reverse ... -
Canonical maximization of coherence: a novel tool for investigation of neuronal interactions between two datasets
Synchronization between oscillatory signals is considered to be one of the main mechanisms through which neuronal populations interact with each other. It is conventionally studied with mass-bivariate measures utilizing ... -
CAP theorem: revision of its related consistency models
The CAP theorem states that only two of these properties can be simultaneously guaranteed in a distributed service: (i) consistency, (ii) availability, and (iii) network partition tolerance. This theorem was stated and ... -
Características y métodos estadísticos empleados en los artículos originales publicados en las revistas de salud pública en España
Background. To describe the characteristics and statistical methods used in the original articles published in Gaceta Sanitaria, Revista Española de Salud Pública y Anales del Sistema Sanitario de Navarra, the Spanish ... -
Cardiovascular risk in patients with type 2 diabetes: a systematic review of prediction models
Aims: to identify all cardiovascular disease risk prediction models developed in patients with type 2 diabetes or in the general population with diabetes as a covariate updating previous studies, describing model performance ... -
CC-separation measure applied in business group decision making
In business, one of the most important management functions is decision making The Group Modular Choquet Random TOPSIS (GMC-RTOPSIS) is a Multi-Criteria Decision Making (MCDM) method that can work with multiple heterogeneous ... -
CFM-BD: a distributed rule induction algorithm for building compact fuzzy models in Big Data classification problems
Interpretability has always been a major concern for fuzzy rule-based classifiers. The usage of human-readable models allows them to explain the reasoning behind their predictions and decisions. However, when it comes to ... -
Circular RNA expression profile in blood according to ischemic stroke etiology
Background: The discovery of novel biomarkers of stroke etiology would be most helpful in management of acute ischemic stroke patients. Recently, circular RNAs (circRNAs) have been proposed as candidate biomarkers of ... -
La ciudadanía global como reto en la enseñanza-aprendizaje de las universidades: las experiencias de innovación educativa de desarrollo y cooperación internacional, derecho Internacional y matemáticas
Se presentan varias experiencias de innovación educativa en la Universidad Pública de Navarra que tienen como nexo común fundamental la transversalización de los Objetivos de Desarrollo Sostenible en el currículo. Con este ... -
Clusterig cosmológico: un enfoque del clustering gravitacional clásico inspirado en la estructura y dinámica del cosmos a gran escala
En este trabajo proponemos un nuevo enfoque del algoritmo de clustering gravitacional basado en lo que Einstein considero su 'mayor error': la constante cosmológica. De manera similar al algoritmo de clustering gravitacional, ... -
Co-occurrence of deep convolutional features for image search
Image search can be tackled using deep features from pre-trained Convolutional Neural Networks (CNN). The feature map from the last convolutional layer of a CNN encodes descriptive information from which a discriminative ...